DyHDGE: Dynamic heterogeneous transaction graph embedding for safety-centric fraud detection in financial scenarios
Dynamic graph fraud detection aims to distinguish fraudulent entities that deviate significantly from most benign entities within an ever-changing graph network. However, when dealing with different financial fraud scenarios, existing methods face challenges, resulting in difficulty in effectively e...
| الحاوية / القاعدة: | Journal of Safety Science and Resilience |
|---|---|
| المؤلفون الرئيسيون: | , , , |
| التنسيق: | مقال |
| اللغة: | الإنجليزية |
| منشور في: |
KeAi Communications Co., Ltd.
2024-12-01
|
| الموضوعات: | |
| الوصول للمادة أونلاين: | http://www.sciencedirect.com/science/article/pii/S2666449624000483 |